Electronic Science and Technology ›› 2024, Vol. 37 ›› Issue (3): 57-67.doi: 10.16180/j.cnki.issn1007-7820.2024.03.008

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Research on Power Emergency Drills in Power Distribution Rooms Based on Time-Sensitive Factors and Dynamic Bayesian Networks

XU Hao, WEI Yunbing, LU Yongxin, LI Qin   

  1. School of Electrical and Electronic Engineering,Shanghai University of Engineering and Technology, Shanghai 201620,China
  • Received:2022-10-08 Online:2024-03-15 Published:2024-03-11
  • Supported by:
    National Natural Science Foundation of China(51507157)

Abstract:

In view of the situation that the emergency work of the distribution room is facing severe challenges due to frequent disasters,this paper conducts a study on the power disaster accident scenario inference technology of power distribution room.Based on the analysis of the suddenness and variability of the power distribution room disasters, the uncertainty and complexity of the evolution path, the "scenario-response" analysis method is used to analyze the components of the power distribution room accidents and their relationships, and the scenario rehearsal model of the power distribution room disasters is constructed based on the dynamic Bayesian network. The effect evaluation of drill is carried out based on the principle of timeliness. A 6 kV power distribution room fire accident in a mining company is conducted case analysis. The results show that the simulation results are consistent with the actual disaster development situation, which indicates the feasibility of the power distribution room disaster scenario model.

Key words: power distribution room, emergency work in the power distribution room, scenario projection, electrical disasters, scenario-response, dynamic Bayesian networks, timeliness, extrapolation model

CLC Number: 

  • TP13